Evidence map›Paper›PMID 28719284›Full record

ArticleThe American journal of tropical medicine and hygiene2017

Nonacademic Attributes Predict Medical and Nursing Student Intentions to Emigrate or to Work Rurally: An Eight-Country Survey in Asia and Africa.

David M Silvestri, Meridith Blevins, Kenneth A Wallston, Arfan R Afzal, Nazmul Alam, Ben Andrews, Miliard Derbew, Simran Kaur, Mwapatsa Mipando, Charles A Mkony and 3 more

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

David M SilvestriVanderbilt University Institute for Global Health, Nashville, Tennessee.
Meridith BlevinsDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
Kenneth A WallstonVanderbilt University School of Nursing, Nashville, Tennessee.
Arfan R AfzalDepartment of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada.
Nazmul AlamDepartment of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada.
Ben AndrewsDepartment of Internal Medicine, University of Zambia School of Medicine, Lusaka, Zambia.
Miliard DerbewDepartment of Surgery, Addis Ababa University School of Medicine, Addis Ababa, Ethiopia.
Simran KaurDepartment of Physiology, All India Institute of Medical Sciences, Ansari Nagar, Delhi, India.
Mwapatsa MipandoUniversity of Malawi College of Medicine, Blantyre, Malawi.
Charles A MkonyDepartment of Surgery, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Philip M MwachakaDepartment of Human Anatomy, University of Nairobi, Nairobi, Kenya.
Nirju RanjitDepartment of Anatomy, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Sten H VermundDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AbstractWe sought to identify independent, nonacademic predictors of medical and nursing student intent to migrate abroad or from rural to urban areas after graduation in low- and middle-income countries (LMIC). This was a cross-sectional survey of 3,199 first- and final-year medical and nursing students at 16 training institutions in eight LMIC. Questionnaires assessed demographics, career intentions, and preferences regarding selected career, location, and work-related attributes. Using principal component analysis, student preferences were reduced into four discrete categories of priorities: 1) work environment resources, 2) location livability, 3) altruistic job values, and 4) individualistic job values. Students' preferences were scored in each category. Using students' characteristics and priority scores, multivariable proportional odds models were used to derive independent predictors of intentions to emigrate for work outside the country, or to work in a rural area in their native country. Students prioritizing individualistic values more often planned international careers (adjusted odds ratio [aOR] = 1.44, 95% confidence interval [CI] = 1.16-1.78), whereas those prioritizing altruistic values preferred rural careers (aOR = 1.82, 95% CI = 1.50-2.21). Trainees prioritizing high-resource environments preferentially planned careers abroad (aOR = 1.38, 95% CI = 1.12-1.69) and were unlikely to seek rural work (aOR = 0.60, 95% CI = 0.49-0.73). Independent of their priorities, students with prolonged prior rural residence were unlikely to plan emigration (aOR = 0.67, 95% CI = 0.50-0.90) and were more likely to plan a rural career (aOR = 1.53, 95% CI = 1.16-2.03). We conclude that use of nonacademic attributes in medical and nursing admissions processes would likely increase retention in high-need rural areas and reduce emigration "brain drain" in LMIC.

Indexed as

Career ChoiceEmigration and ImmigrationIntentionRural Health ServicesAdultAfricaAsiaCross-Sectional StudiesEducation, Medical, UndergraduateFemaleHumansLinear ModelsMaleMultivariate AnalysisPrincipal Component AnalysisStudents, Medical

Identifiers

PMID28719284
PMCPMC5462594

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.